Description

In this role, you will work closely with a team of statisticians and data scientists to develop innovative statistical methods and tools that support informed decision-making in health technology assessment and market access. Your contributions will enhance evidence generation and foster collaboration across various teams and academic partnerships.

Requirements

• •PhD in Statistics, Mathematics, or related field
• •Knowledge of modern methodological concepts relevant to evidence synthesis
• •Strong proficiency in statistical programming (preferably R)
• •Experience in evaluation and research of statistical methodology
• •Experience in data visualization and storytelling
• •Ability to provide statistical consultancy and deliver training
• •Solid understanding of clinical development processes
• •Excellent interpersonal and communication skills in English

Tasks

• •Collaborate with statisticians and data scientists
• •Provide statistical-methodological expertise
• •Develop pragmatic solutions for quantitative evidence integration
• •Evaluate and enhance complex statistical methods
• •Prototype and develop ready-to-use toolkits
• •Create manuals and deployment guides for implementation
• •Contribute to applied statistical-methodological learning modules
• •Define and supervise technical and scientific work of interns and students
• •Present insights and illustrate applications in clinical development
• •Contribute expertise to cross-functional working groups
• •Engage in industry collaborations and partnerships with academic experts

Tools & Technologies